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Consumer preferences for automobile energy-efficiency grades

Author

Listed:
  • Koo, Yoonmo
  • Kim, Chang Seob
  • Hong, Junhee
  • Choi, Ie-Jung
  • Lee, Jongsu

Abstract

Recently, increases in energy prices have made energy conservation and efficiency improvements even more essential than in the past. However, consumers experience difficulty in obtaining reliable information regarding energy efficiency, so that many countries have implemented regulations to enforce energy-efficiency grade labeling. In this study, consumer preferences regarding energy efficiency grades are analyzed by the mixed logit and MDCEV model based on the revealed preference data of past automobile purchases. Findings show that consumers rationally apply information on energy efficiency grades when purchasing automobiles. However, they tend to show inefficiency in automobile usage patterns. This study discusses political implications of energy efficiency policies as they might impact consumer behaviors of automobile purchase and usage.

Suggested Citation

  • Koo, Yoonmo & Kim, Chang Seob & Hong, Junhee & Choi, Ie-Jung & Lee, Jongsu, 2012. "Consumer preferences for automobile energy-efficiency grades," Energy Economics, Elsevier, vol. 34(2), pages 446-451.
  • Handle: RePEc:eee:eneeco:v:34:y:2012:i:2:p:446-451
    DOI: 10.1016/j.eneco.2011.12.012
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    Cited by:

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    3. Acharya, Bikram & Marhold, Klaus, 2019. "Determinants of household energy use and fuel switching behavior in Nepal," Energy, Elsevier, vol. 169(C), pages 1132-1138.
    4. Acharya, Bikram & Lee, Jongsu & Moon, HyungBin, 2022. "Preference heterogeneity of local government for implementing ICT infrastructure and services through public-private partnership mechanism," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    5. Acharya, Bikram & Adhikari, Santosh, 2021. "Household energy consumption and adaptation behavior during crisis: Evidence from Indian economic blockade on Nepal," Energy Policy, Elsevier, vol. 148(PB).
    6. Kim, Kyungah & Lee, Jongsu & Kim, Junghun, 2021. "Can liquefied petroleum gas vehicles join the fleet of alternative fuel vehicles? Implications of transportation policy based on market forecast and environmental impact," Energy Policy, Elsevier, vol. 154(C).
    7. Park, Yuri & Koo, Yoonmo, 2016. "An empirical analysis of switching cost in the smartphone market in South Korea," Telecommunications Policy, Elsevier, vol. 40(4), pages 307-318.
    8. Voltes-Dorta, Augusto & Perdiguero, Jordi & Jiménez, Juan Luis, 2013. "Are car manufacturers on the way to reduce CO2 emissions?: A DEA approach," Energy Economics, Elsevier, vol. 38(C), pages 77-86.
    9. HyungBin Moon & Hyunhong Choi & Jongsu Lee & Ki Soo Lee, 2017. "Attitudes in Korea toward Introducing Smart Policing Technologies: Differences between the General Public and Police Officers," Sustainability, MDPI, vol. 9(10), pages 1-17, October.

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    More about this item

    Keywords

    Mixed logit; Mixed multiple discrete-continuous extreme value; Energy efficiency grade;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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